A company manufactures components for the computer industry and has developed a model of one of its production systems. The measure of interest is the time that a component has to wait in one of the processes. The production process operates 12 hours a day and the system starts each day in the empty state. The model was run 100 times and the mean times the component had to wait is 29.3 minutes with a standard deviation of 2.94 minutes. 1. Determine the 90% confidence interval for the true mean time from the model 2. Suppose the measurements from the real system gave a mean figure of 22 minutes, what would you conclude about the validity of the model?

A company manufactures components for the computer industry and has developed a model of one of its production systems. The measure of interest is the time that a component has to wait in one of the processes. The production process operates 12 hours a day and the system starts each day in the empty state. The model was run 100 times and the mean times the component had to wait is 29.3 minutes with a standard deviation of 2.94 minutes. 1. Determine the 90% confidence interval for the true mean time from the model 2. Suppose the measurements from the real system gave a mean figure of 22 minutes, what would you conclude about the validity of the model?

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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